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Learner Reviews & Feedback for People Analytics by University of Pennsylvania

4.5
stars
3,717 ratings
649 reviews

About the Course

People analytics is a data-driven approach to managing people at work. For the first time in history, business leaders can make decisions about their people based on deep analysis of data rather than the traditional methods of personal relationships, decision making based on experience, and risk avoidance. In this brand new course, three of Wharton’s top professors, all pioneers in the field of people analytics, will explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques are used at cutting-edge companies. They’ll explain how data and sophisticated analysis is brought to bear on people-related issues, such as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration. This course is an introduction to the theory of people analytics, and is not intended to prepare learners to perform complex talent management data analysis. By the end of this course, you’ll understand how and when hard data is used to make soft-skill decisions about hiring and talent development, so that you can position yourself as a strategic partner in your company’s talent management decisions. This course is intended to introduced you to Organizations flourish when the people who work in them flourish. Analytics can help make both happen. This course in People Analytics is designed to help you flourish in your career, too....

Top reviews

AA

Dec 22, 2018

Thank you so much for this very helpful module! I hope you continue to inspire HR professionals around the world to use HR Analytics as an important means to drive organizational-related decisions.

PN

Jul 28, 2017

This is a very well defined course to give a very good start to the knowledge of People Analytics. The professors have brought in numerous examples to make the understanding of analytics better.

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401 - 425 of 639 Reviews for People Analytics

By 罗成毅

Dec 29, 2017

thank you!

By M V S S

Oct 04, 2017

Very Good.

By Luis R U N

Aug 26, 2017

Excellent!

By Rafael J B

Nov 19, 2016

Excellent!

By Majid A

Mar 12, 2016

Excellent!

By SUBRATA H C

Dec 15, 2015

excellent.

By Shaik I

Sep 23, 2019

fantastic

By Mahesh T

Aug 31, 2018

Very good

By Joseph E

Nov 25, 2017

beautiful

By Diego A P G

Mar 25, 2017

Excellent

By Manisha M

Oct 08, 2016

excellent

By Liang C

Apr 10, 2016

Excellent

By PRAVEEN D

Feb 08, 2016

Excellent

By Kohil N

Nov 07, 2019

Loved it

By Artem A

Apr 14, 2016

Noiiice!

By Jingyuan Z

Dec 11, 2017

like it

By Manasvee M K

Dec 28, 2018

great

By Wan A

Jul 04, 2016

great

By Jurong G

Aug 15, 2019

good

By ANUJ K Y

Nov 02, 2018

good

By Kuljeet K

Mar 01, 2017

Good

By debanjan p

Jun 24, 2016

good

By Ishak S

Jun 11, 2016

Done

By Shaharol N B M

Dec 06, 2018

T

By Govind R A

Aug 01, 2017

F